Direct activation of human TRPC6 and TRPC3 channels by diacylglycerol
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doi.org/10.1038/16711 →Countries where authors are citing Direct activation of human TRPC6 and TRPC3 channels by diacylglycerol
This map shows the geographic impact of Direct activation of human TRPC6 and TRPC3 channels by diacylglycerol. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Direct activation of human TRPC6 and TRPC3 channels by diacylglycerol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Direct activation of human TRPC6 and TRPC3 channels by diacylglycerol more than expected).
Fields of papers citing Direct activation of human TRPC6 and TRPC3 channels by diacylglycerol
This network shows the impact of Direct activation of human TRPC6 and TRPC3 channels by diacylglycerol. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Direct activation of human TRPC6 and TRPC3 channels by diacylglycerol.
About Direct activation of human TRPC6 and TRPC3 channels by diacylglycerol
This paper, published in 1999, received 1.3k indexed citations . Written by Thomas Hofmann, Alexander G. Obukhov, Michael Schaefer, Christian Harteneck, Thomas Gudermann and Günter Schultz covering the research area of Cellular and Molecular Neuroscience, Sensory Systems and Biochemistry. It is primarily cited by scholars working on Sensory Systems (983 citations), Molecular Biology (597 citations), Cellular and Molecular Neuroscience (426 citations), Nutrition and Dietetics (218 citations) and Physiology (137 citations). Published in Nature.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.
This paper is also available at doi.org/10.1038/16711.